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Evaluating sustainable supply chain indicators using fuzzy AHP: Case of Indian automotive industry

机译:使用模糊层次分析法评估可持续供应链指标:以印度汽车业为例

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Purpose: Sustainability in supply chain is gaining attention in recent years due to environmental concern, enforced legislation, green issues, social responsibility, etc. Sustainable supply chain (SSC) has revolved around the various dimensions including economy, environment and societal factors since its inception. The purpose of this paper is to identify, prioritize and evaluate the indicators of SSC so that organizations can cultivate strategies to implement them on priority. Design/methodology/approach: This paper proposes a methodology based on fuzzy analytic hierarchy process to prioritize the indicators of SSC. A numerical analysis of Indian automotive industry is presented to demonstrate the use of the proposed method. This proposed method considered fuzzy framework that can handle impreciseness and uncertainty. Sensitivity analysis is also performed to test the robustness of the proposed model. Findings: Potential indicators are identified from relevant literature and validated by industry experts. This research finalizes the SSC indicators under three dimensions so that prioritization of identified indicators can be developed and the insights relationship of factors would be explored. The results of the study found that environmental and social dimensions of sustainability contribute more toward the sustainability. Research limitations/implications: This study is limited to identify evaluation factors and other factors have not been identified and categorized. Evaluation is done by experts in this area so it is natural that views of decision makers may be subjective and vary with regard to industry type, priorities, resources, etc. Practical implications: This study will help industry to identify, evaluate and prioritize factors for successful implementation of sustainability in their supply chain. Automotive companies could device these factors by applying the outcome of the study in their operations with higher priority to integrate sustainability in their supply chain. Originality/value: These factors are identified to implement sustain ability into supply chain practices for automotive industry.
机译:目的:由于对环境的关注,强制执行的立法,绿色问题,社会责任等,近年来供应链的可持续性越来越受到关注。可持续性供应链(SSC)自成立以来就围绕经济,环境和社会因素等各个方面发展。本文的目的是确定,优先排序和评估SSC的指标,以便组织可以制定策略来优先实施它们。设计/方法/方法:本文提出了一种基于模糊层次分析法的方法,以对SSC指标进行优先排序。进行了印度汽车工业的数值分析,以证明所提出方法的使用。该方法考虑了可以处理不精确性和不确定性的模糊框架。还执行了灵敏度分析,以测试所提出模型的鲁棒性。调查结果:潜在指标是从相关文献中确定的,并已得到行业专家的验证。这项研究在三个维度上最终确定了SSC指标,以便可以确定已确定指标的优先级,并探索因素的见解关系。研究结果发现,可持续性的环境和社会层面对可持续性的贡献更大。研究局限性/含意:本研究仅限于确定评估因素,而其他尚未确定和归类的因素。评估是由该领域的专家进行的,因此决策者的观点很自然是主观的,并且在行业类型,优先级,资源等方面会有所不同。实际含义:本研究将帮助行业识别,评估和确定影响因素的优先级。在其供应链中成功实施可持续性。汽车公司可以通过将研究结果应用于其运营中来优先考虑将可持续性纳入其供应链中,从而利用这些因素。原创性/价值:确定这些因素是为了在汽车行业的供应链实践中实现可持续能力。

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